Both the off-line and on-line methods for short-term electric load forecasting are reviewed. Since identifying an adequate model is the most important problem of any forecasting technique, the literature is classified according to the modeling approaches used for representing the load demand. The merits and drawbacks of each approach and how different authors have applied it to the problem under consideration are stressed. Also included is recent work where multivariable identification techniques are used to model the load demand of all the major loading nodes of a large power system. The advantages and the difficulties of applying such techniques are discussed. As a conclusion, directions for future research and future development of available algorithms, which can improve the state of the art, are suggested.

Short-Term Load Demand Modeling and Forecasting: A Review

A review of forecasting procedures which have been developed in the electricity supply industry to serve the short-term needs of load dispatching is presented. The procedures are broadly categorised into whether or not use is made of a standard load concept. From the point of view of comparative research in applied forecasting, some comments are proposed on the wide variety of methods which have been developed for basically similar problems.

https://link.springer.com/content/pdf/10.1057%2Fjors.1982.116.pdf

J.P. Koutchouk

Papers

Electrical power system load modelling by a two-stage stochastic approximation procedure